function(x, n, p, print.it = F)
{
#
# C. Croux (Brussels, Belgium) and P. Filzmoser (Vienna, Austria)
#
# calculating the weights for Weighted L1-Regression ("wl1fit") (without regression) 
#
# REMARK: "cov.mve" should be the corrected version of Splus(>)4.0
#
	x <- as.data.frame(x)
	if(p == 1) {
		rob <- list(center = 0, cov = 1)
		rob$center <- median(x)
		rob$cov <- mad(x)^2
	}
	else rob <- cov.mve(x, print.it = F)
	x <- as.matrix(x)
	robdist2 <- mahalanobis(x, rob$center, rob$cov)	#	weight <- p/robdist2	
	weight <- qchisq(0.95, p)/robdist2
	weight <- apply(cbind(1, weight), 1, min)
	weight
}
